1,723,579 research outputs found
Stock market returns, volatility, and future output
Full text linkIn this article, Hui Guo shows that, if stock volatility follows an AR(1) process, stock market returns relate positively to past volatility but relate negatively to contemporaneous volatility in Merton’s (1973) Intertemporal Capital Asset Pricing Model. The model helps explain the recent finding that stock market volatility drives out returns in forecasting real gross domestic product growth because the predictive power of returns is hampered by their positive correlation with past volatility. If the positive relation between returns and past volatility is controlled for, however, the author finds that volatility provides no additional information beyond returns in forecasting output in the post-World War II sample.Stock market ; Capital assets pricing model
Why are stock market returns correlated with future economic activities?
Full text linkStock price, because it is a forward-looking variable, forecasts economic activities. An unexpected increase in stock price reflects that (i) future dividend growth is higher and/or (ii) future discount rates are lower than previously anticipated; therefore, the increase predicts higher output and investment. As well, other studies argue for an important relation between the expected stock market return and investment. In this paper, Hui Guo analyzes the relative importance of these mechanisms by using Campbell and Shiller’s (1988) method to decompose stock market return into three parts: expected return, a shock to the expected future return, and a shock to the expected future dividend growth. Contrary to the conventional wisdom, the author finds that dividend shocks are a rather weak predictor for future economic activities. Moreover, the expected return and shocks to the expected future return display different predictive patterns. The results shown here, collectively, explain why the forecasting power of stock market return is rather limited.Stock market
A simple model of limited stock market participation
Full text linkStocks have outperformed government bonds, on average, by a large margin in historical data. However, most U.S. households do not own stocks, either directly or indirectly. Also, stocks are highly concentrated in the hands of relatively few wealthy people. In this article, Hui Guo describes some aspects of stock ownership. He then uses an overlapping-generations model to help explain why stock market participation is so limited and discusses some implications of limited stock market participation.Stock market
Supplementary Figure 1 -Supplemental material for Utility of DWI with quantitative ADC values in ovarian tumors: a meta-analysis of diagnostic test performance
No full textSupplemental material, Supplementary Figure 1 for Utility of DWI with quantitative ADC values in ovarian tumors: a meta-analysis of diagnostic test performance by Shan Pi, Rong Cao, Jin Wei Qiang and Yan Hui Guo in Acta Radiologica</p
Supplementary Table 1 -Supplemental material for Utility of DWI with quantitative ADC values in ovarian tumors: a meta-analysis of diagnostic test performance
No full textSupplemental material, Supplementary Table 1 for Utility of DWI with quantitative ADC values in ovarian tumors: a meta-analysis of diagnostic test performance by Shan Pi, Rong Cao, Jin Wei Qiang and Yan Hui Guo in Acta Radiologica</p
sj-docx-1-npx-10.1177_1934578X221139409 - Supplemental material for Activation of the Nrf2 Antioxidant Pathway by Longjing Green Tea Polyphenols in Mice Livers
No full textSupplemental material, sj-docx-1-npx-10.1177_1934578X221139409 for Activation of the Nrf2 Antioxidant Pathway by Longjing Green Tea Polyphenols in Mice Livers by Le Lv, Haoyue Shu, Xiaoye Mo, Yongjing Tian, Hui Guo and Hai-Yan Sun in Natural Product Communications</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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